November 2, 2019 Conference paper Open Access

Potapczyk, Tomasz; Przybysz, Pawel; Chochowski, Marcin; Szumaczuk, Artur

Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3525498", 
  "language": "eng", 
  "title": "Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task", 
  "issued": {
    "date-parts": [
      [
        2019, 
        11, 
        2
      ]
    ]
  }, 
  "abstract": "<p>This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R&amp;D Institute, Poland. We decided to focus on end-to-end English to German TED lectures translation and did not provide any submission for other speech tasks. We used a slightly altered Transformer&nbsp;architecture with standard convolutional layer preparing the audio input to Transformer en- coder. Additionally, we propose an audio segmentation al- gorithm maximizing BLEU score on tst2015 test set.</p>", 
  "author": [
    {
      "family": "Potapczyk, Tomasz"
    }, 
    {
      "family": "Przybysz, Pawel"
    }, 
    {
      "family": "Chochowski, Marcin"
    }, 
    {
      "family": "Szumaczuk, Artur"
    }
  ], 
  "type": "paper-conference", 
  "id": "3525498"
}